Hi Luigi,
I'm afraid I don't understand your toy data as you've described it, but
if you really don't have run 2 for target A, and don't have run 1 for
target B, why not just create another factor that reflects this, and
plot that?
my.data$clus2 <- with(my.data, interaction(cluster, target))
and call: dotplot(value ~ type| clus2, ... )
Philip
On 22/02/2017 8:03 PM, Luigi Marongiu wrote:
dear all,
I have a set of data that is subdivided in cluster (run 1/run 2) and in
target (A/B). When plotting, I obtain a panel strip with "run 1" and "run
2" for each "A" and "B" panel, so "run 1" appears twice and so does "run
2". It is possible to merge the strip together so that I will have "run 1"
or "run 2" only once? this will reduce the complexity of the data and allow
more space for more detailed information in the strip.
the data follows,
thank you
L
cluster<- c(rep("run_1", 6), rep("run_2", 6))
type<- rep(c("blank", "positive", "negative"),2)
target<- c(rep("A", 6), rep("B", 6))
value<- c(0.01, 1.1, 0.5,
0.02, 1.6, 0.8,
0.07, 1.4, 0.7,
0.03, 1.4, 0.4)
my.data<- data.frame(cluster, type, target, value)
library(lattice)
dotplot(
value ~ type|target + cluster,
my.data,
groups = type,
pch=21,
main = "Luminex analysis MTb humans",
xlab = "Target", ylab = "Reading",
col = c("grey", "green", "red"),
par.settings = list(strip.background = list(col="paleturquoise")),
scales = list(alternating = FALSE, x = list(labels = c("", "", ""))),
key = list(
space = "top",
columns = 3,
text = list(c("Blank", "Negative", "Positive"), col="black"),
rectangles = list(col=c("grey", "green", "red"))
)
)
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